Smolice Plant Breeding Sp. z o. o. IHAR Group, Smolice 146, 63-740 Kobylin, Poland.
Department of Genetics and Plant Breeding, Poznań University of Life Sciences, Dojazd 11, 60-632 Poznań, Poland.
Int J Mol Sci. 2022 Nov 28;23(23):14865. doi: 10.3390/ijms232314865.
Seed vigor and seed germination are very important traits, determined by several factors including genetic and physical purity, mechanical damage, and physiological condition, characterized by maintaining a high seed vigor and stable content after storage. The search for molecular markers related to improvement in seed vigor under adverse condition is an important issue in maize breeding currently. Higher sowing quality of seeds is necessary for the development of the agriculture production and better ability to resist all kinds of adversity in the seeds’ storage. Condition is a very important factor affecting the yield of plants, thanks to the construction of their vitality. Identification of molecular markers associated with seed germination and seed vigor may prove to be very important in the selection of high-yielding maize varieties. The aim of this study was to identify and select new markers for maize (SNP and SilicoDArT) linked to genes influencing the seed germination and seed vigor in inbred lines of maize (Zea mays L.). The plant material used for the research was 152 inbred maize lines. The seed germination and seed vigor were analyzed. For identification of SNP and SilicoDArT markers related to the seed germination and seed vigor, the SilicoDarT technique developed by Diversity Arrays Technology was used. The analysis of variance indicated a statistically significant differentiation between genotypes for both observed traits. Positive (r = 0.41) correlation (p < 0.001) between seed germination and seed vigor was observed. As a result of next-generation sequencing, the molecular markers SilicoDArT (53,031) and SNP (28,571) were obtained. Out of 81,602 identified SilicoDArT and SNP markers, 15,409 (1559 SilicoDArT and 13,850 SNP) were selected as a result of association mapping, which showed them to be significantly related to the analyzed traits. The 890 molecular markers were associated with seed vigor, and 1323 with seed germination. Fifty-six markers (47 SilicoDArT and nine SNP) were significant for both traits. Of these 56 markers, the 20 most significant were selected (five of these markers were significant at the level of 0.001 for seed vigor and at the level of 0.05 for seed germination, another five markers were significant at the level of 0.001 for seed germination and at the level of 0.05 for seed vigor, five markers significant at the level of 0.001 only for seed vigor and five significant at the level of 0.001 only for seed germination also selected). These markers were used for physical mapping to determine their location on the genetic map. Finally, it was found that six of these markers (five silicoDArT—2,435,784, 4,772,587, 4,776,334, 2,507,310, 25,981,291, and one SNP—2,386,217) are located inside genes, the action of which may affect both seed germination and seed vigor. These markers can be used to select genotypes with high vigor and good seed germination.
种子活力和种子发芽率是非常重要的特性,由多种因素决定,包括遗传和物理纯度、机械损伤和生理状况,其特征在于在储存后保持高种子活力和稳定的含量。寻找与逆境下种子活力提高相关的分子标记是当前玉米育种的一个重要问题。更高的播种质量对于农业生产的发展以及提高种子在储存过程中抵御各种逆境的能力是非常必要的。条件是影响植物产量的一个非常重要的因素,这要归功于其活力的构建。鉴定与种子发芽和种子活力相关的分子标记,可能在选择高产玉米品种方面非常重要。本研究的目的是鉴定和选择与玉米自交系种子发芽和活力相关的新标记(SNP 和 SilicoDArT)。用于研究的植物材料是 152 个玉米自交系。分析了种子发芽率和种子活力。为了鉴定与种子发芽和种子活力相关的 SNP 和 SilicoDArT 标记,使用了由多样性阵列技术(Diversity Arrays Technology)开发的 SilicoDarT 技术。方差分析表明,两种观察性状的基因型之间存在显著差异。观察到种子发芽率和种子活力之间存在正相关(r = 0.41)(p < 0.001)。作为下一代测序的结果,获得了分子标记 SilicoDArT(53031)和 SNP(28571)。在鉴定到的 81602 个 SilicoDArT 和 SNP 标记中,有 15409 个(1559 个 SilicoDArT 和 13850 个 SNP)被关联作图选中,表明它们与分析的性状显著相关。890 个分子标记与种子活力有关,1323 个与种子发芽率有关。有 56 个标记(47 个 SilicoDArT 和 9 个 SNP)与这两个性状都显著相关。在这 56 个标记中,选择了 20 个最显著的标记(其中 5 个标记在种子活力水平上显著,在种子发芽率水平上显著,另外 5 个标记在种子发芽率水平上显著,在种子活力水平上显著,5 个标记仅在种子活力水平上显著,5 个标记仅在种子发芽率水平上显著)。这些标记被用于物理作图,以确定它们在遗传图谱上的位置。最后,发现其中 6 个标记(5 个 SilicoDArT—2435784、4772587、4776334、2507310、25981291 和一个 SNP—2386217)位于基因内部,其作用可能同时影响种子发芽率和种子活力。这些标记可用于选择活力高、发芽好的基因型。